Experienced software engineer and data scientist proficient in Python, skilled in both manual and automation testing, and adept at leveraging data science for impactful business decisions. Strong analytical skills, passion for data exploration, and expertise in building models define my versatile skill set.
Skills
Experience
Education
Well-versed in machine learning, deep learning, and able to build and deploy end-to-end projects. Skilled in using various techniques to extract insights from data.
Learn moreAnalyzed and interpreted complex data sets resulting in improved business decisions and increased efficiency. Skilled in statistical analysis and utilizing data visualization tools.
Learn moreInvolved in full software development lifecycle, including design, development, testing and deployment of various applications. Strong skills in utilizing various programming languages and frameworks to deliver robust, efficient and scalable solutions.
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This comprehensive tool is designed to assist users in effectively managing their financial transactions, including earnings, expenses, investments, and savings. With Expense App, users can easily record, track and categorize their expenses, providing them with valuable insights into their spending habits.
AI tool that suggests fashion products based on image, URL, or text input. It uses advanced machine learning algorithms to match style, color, and other attributes. The tool is user-friendly, making it a valuable tool for fashion enthusiasts, online shoppers, and fashion retailers.
The FlyJet project is a machine learning-based flight price prediction system using Python. It utilizes a large dataset for accurate predictions and advanced analytics and visualization. The model helps users make informed decisions about their air travel by providing accurate and up-to-date flight pricing information.
The WhatsApp Chat Analysis and Visualization project utilizes data science techniques to extract useful insights from WhatsApp chats and presents them in a user-friendly dashboard. The project allows for easy navigation and understanding of chat conversations with the help of stunning visualizations. It is a powerful tool for anyone looking to understand their WhatsApp chats in a more meaningful way.
This project aimed to classify incoming emails as spam or non-spam using machine learning techniques. The dataset was collected, preprocessed and several models were trained and evaluated to find the best performer. The final model was deployed to classify new incoming emails.
Fashion recommendation system uses live data from Flipkart to make personalized fashion recommendations to users. Users can easily make purchases directly from Flipkart with just one click. The system utilizes deep learning algorithms to make accurate and relevant recommendations.
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